Research Article
Elderly Monitoring System with Sleep and Fall Detector
@INPROCEEDINGS{10.1007/978-3-319-47063-4_51, author={Abdulakeem Odunmbaku and Amir-Mohammad Rahmani and Pasi Liljeberg and Hannu Tenhunen}, title={Elderly Monitoring System with Sleep and Fall Detector}, proceedings={Internet of Things. IoT Infrastructures. Second International Summit, IoT 360° 2015, Rome, Italy, October 27-29, 2015. Revised Selected Papers, Part I}, proceedings_a={IOT360}, year={2017}, month={1}, keywords={Fall detector Sleep monitor Healthcare Internet-of-Things}, doi={10.1007/978-3-319-47063-4_51} }- Abdulakeem Odunmbaku
Amir-Mohammad Rahmani
Pasi Liljeberg
Hannu Tenhunen
Year: 2017
Elderly Monitoring System with Sleep and Fall Detector
IOT360
Springer
DOI: 10.1007/978-3-319-47063-4_51
Abstract
Monitoring of elderly people has drawn attention of healthcare and medical professionals. Various health problems have been attributed to either fall or lack of sleep in the context of elderly people. Falling and sleep problems on a long term basis could eventually lead to sharp deteriorate in health, poor state of health and high cost for covering their health care. In this paper a new accurate and convenient while cost-efficient implementation of a monitoring system is presented. The use of an accelerometer based system was utilized in this work. The targeted device fit for this implementation is a smart watch. The algorithm of both the fall detector and sleep monitor presented in this work have been implemented and tested on multiple subjects. It also includes a database backend which is used to save the information collected from the system for further analysis and can provide healthcare professional with more insight of the person’s life and can help more on further health medication being given to the person.
